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This commit introduces a new chat artifact for handling SQL queries.

Key features:

  • Displays SQL queries directly in the chat UI.
  • "Run Query" action:
    • Calls a new API endpoint (/api/sql) to execute the query (currently placeholder execution).
    • Provides your feedback via toast notifications (running, success, error).
    • Stores query results or errors in the artifact's metadata.
  • "View Results" action:
    • Allows you to see the results or errors from the last query run (currently via alert/console).
    • Disabled while a query is executing.
  • Server-side handler for creating/updating SQL documents.
  • Basic unit tests for the SQL artifact client, including:
    • Rendering of the query.
    • "Run Query" action behavior (API calls, metadata updates, toasts).
    • "View Results" action behavior based on metadata.

The artifact is registered and available for use in the chat interface. Further work can include a more sophisticated results display and actual database integration for the query execution endpoint.

This commit introduces a new chat artifact for handling SQL queries.

Key features:
- Displays SQL queries directly in the chat UI.
- "Run Query" action:
    - Calls a new API endpoint (`/api/sql`) to execute the query (currently placeholder execution).
    - Provides your feedback via toast notifications (running, success, error).
    - Stores query results or errors in the artifact's metadata.
- "View Results" action:
    - Allows you to see the results or errors from the last query run (currently via alert/console).
    - Disabled while a query is executing.
- Server-side handler for creating/updating SQL documents.
- Basic unit tests for the SQL artifact client, including:
    - Rendering of the query.
    - "Run Query" action behavior (API calls, metadata updates, toasts).
    - "View Results" action behavior based on metadata.

The artifact is registered and available for use in the chat interface.
Further work can include a more sophisticated results display and actual database integration for the query execution endpoint.
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vercel bot commented May 21, 2025

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agent ❌ Failed (Inspect) May 21, 2025 5:22am

@SferaDev SferaDev requested a review from Copilot May 21, 2025 05:19
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Pull Request Overview

This PR introduces a new SQL chat artifact that displays and executes SQL queries via a dedicated API endpoint while providing real-time feedback through toast notifications. Key changes include:

  • Implementation of the SQL document handler (server.ts) to stream and return SQL queries.
  • Development of the SQL artifact client (client.tsx) with “Run Query” and “View Results” actions, supported by unit tests.
  • Registration of the SQL artifact in the artifact definitions and a new API route (route.ts) for executing SQL queries.

Reviewed Changes

Copilot reviewed 5 out of 5 changed files in this pull request and generated 1 comment.

Show a summary per file
File Description
apps/dbagent/src/components/chat/artifacts/sql/server.ts Implements the SQL document handler for SQL artifacts.
apps/dbagent/src/components/chat/artifacts/sql/client.tsx Provides the UI and action logic for SQL queries and result handling.
apps/dbagent/src/components/chat/artifacts/sql/client.test.tsx Adds unit tests covering rendering and action behaviors for the SQL artifact client.
apps/dbagent/src/components/chat/artifacts/artifact.tsx Registers the SQL artifact along with the existing artifacts.
apps/dbagent/src/app/api/sql/route.ts Creates a new API endpoint for SQL query execution with simulated responses.
Comments suppressed due to low confidence (1)

apps/dbagent/src/components/chat/artifacts/sql/client.tsx:27

  • Consider replacing the hardcoded values (50 and 100) with named constants or adding inline comments to document their intent, which will improve readability and ease future adjustments.
draftArtifact.content.length > 50 && draftArtifact.content.length < 100

Comment on lines +33 to +34
// Simulate an error for demonstration purposes if query contains "ERROR"
if (query.toUpperCase().includes('ERROR')) {
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Copilot AI May 21, 2025

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Since the error simulation relies on the query containing the string 'ERROR', consider using a dedicated flag or more explicit error simulation mechanism to avoid accidental triggers in realistic inputs.

Suggested change
// Simulate an error for demonstration purposes if query contains "ERROR"
if (query.toUpperCase().includes('ERROR')) {
// Simulate an error for demonstration purposes if simulateError is true
if (simulateError) {

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